Selective Noise Suppression Methods Using Random SVPWM to Shape the Noise Spectrum of PMSMs

TL;DR

This paper introduces two novel selective noise suppression methods using random SVPWM to shape the noise spectrum of PMSMs, effectively reducing electromagnetic and acoustic noise at specific frequencies through simulation and experiments.

Contribution

It proposes two new SNS methods that selectively eliminate voltage harmonics at targeted frequencies, enhancing noise control in PMSMs beyond existing PWM techniques.

Findings

Both methods effectively suppress noise at specific frequencies.

The second SNS method produces a more uniform power spectrum density.

Experimental results validate the effectiveness of the proposed methods.

Abstract

Random pulse width modulation techniques are used in AC motors powered by two-level three-phase inverters, which cause a broadband spectrum of voltage, current, and electromagnetic force. The voltage distribution across a wide range of frequencies may increase the vibration and acoustic noise of motors. This study proposes two selective noise suppression (SNS) methods to eliminate voltage harmonics for specified frequencies. In the first method, the switching frequency is constant. The pulse position is calculated by the duty cycle of the current switching cycle. Both the pulse position and switching frequency are randomized in the second method. This involves creating a unique relationship among the switching frequency, pulse position, and duty cycle to shape the noise spectrum. Computer simulation and experimental results show that both methods effectively perform selective noise suppression at a specific frequency. The power spectrum density (PSD) using the second SNS method is more uniform near integer multiples of the switching frequency than that using random pulse width modulation techniques or the first SNS method. These methods provide a valuable reference for eliminating electromagnetic and acoustic noises at resonant frequencies in motors.